معرفی
Oriol Bosch-Jover is a Postdoctoral Researcher in Data Donation and Computational Methods at the Leverhulme Centre for Demographic Science, University of Oxford, and a Research Fellow at the Research and Expertise Centre for Survey Methodology (Universitat Pompeu Fabra). He contributes to Professor Melinda Mill’s ERC advanced grant CHRONO, the Data4Science project, and the ERC starting grant WEB DATA OPP, focusing on interdisciplinary demographic and survey methodology research.
His academic background includes a PhD in Social Research Methods from The London School of Economics, an MSc in Survey Methods for Social Research from the University of Essex, and a BSc in Political Science from Pompeu Fabra University.
As a computational methodologist, Bosch-Jover specializes in integrating survey techniques with digital trace data collection. His research prioritizes developing error-minimization frameworks for web tracking and data donation systems, while innovating survey methodologies through emoji-based responses, image analysis, and voice input interfaces. He examines generational differences in survey participation and cross-national variations in polarization and income perception.
His publication portfolio reveals a dominant trend in hybrid data collection approaches, merging traditional surveys with digital footprints. Key thematic clusters include digital trace data quality assessment, experimental comparisons of response formats (sliders vs. radio buttons, images vs. text), and computational solutions for bias reduction in affective polarization studies. His work consistently addresses methodological validity in cross-cultural online panels.
Bosch-Jover has secured significant research funding through ERC grants CHRONO and WEB DATA OPP, collaborating with institutions including The Alan Turing Institute, Wellcome Trust, and University of Southampton. His professional trajectory demonstrates extensive grant management experience in large-scale international survey projects.
He operates within the Leverhulme Centre for Demographic Science’s interdisciplinary ecosystem and the Research and Expertise Centre for Survey Methodology’s methodological innovation hub, contributing to teams that bridge demographic science, computational statistics, and social research design.
